Parallel Web Systems

Member of Technical Staff, Data Engineering at Parallel Web Systems (San Francisco, CA / Palo Alto, CA)

Parallel Web Systems· San Francisco, CA / Palo Alto, CA· $150k–$300k·

Role details

Salary
$150k–$300k
Work type
Onsite
Employment
Full-Time
Equity
Yes

Job description

ABOUT US

Parallel is a web infrastructure company. Our products are used by leading businesses in sales, marketing, insurance, and coding to build best-in-class AI agents with flexible and powerful programmatic access to the web.

We've raised $230 million from Kleiner Perkins, Sequoia, Index Ventures, Spark Capital, Khosla Ventures, First Round, and Terrain to build the web for AIs. We're currently valued at $2 billion and we're forming a world-class team of engineers, designers, marketers, sellers, researchers, and operational experts to achieve our mission.

Job: You will build the data foundations that powers model training, product building and analytics across the company. You will work across the full lifecycle: designing pipelines that ingest and transform data at scale, building the storage and serving layers that make it fast and reliable to query, and establishing the quality, lineage, and observability systems that let others trust the data. You will anticipate scaling bottlenecks before they appear and make the architectural calls that keep the platform ahead of growing demand.

You: Have deep intuition on distributed data processing, data modeling, and system reliability. You like to reason about the trade-offs between batch and streaming, between storage cost and query performance, and between build-it-yourself and off-the-shelf infrastructure. You care about the data being right, not just available, and about building systems that teams across the company can depend on without a second thought.

LIFE AT PARALLEL

Our team works fully in-person, between our Palo Alto HQ and San Francisco office. We’re a flat, talent-dense organization dedicated to solving technical and creative problems.

We seek like-minded individuals who share our passion for applying science, creativity, and consistency to big and complex problems with equally big outcomes. These are our values:

  • Own customer impact: It’s on us to ensure real-world outcomes for our customers.
  • Obsess over craft: Perfect every detail because quality compounds.
  • Accelerate change: Ship fast, adapt faster, and move frontier ideas into production.
  • Create win-wins: Creatively turn trade-offs into upside.
  • Make high-conviction bets: Try and fail. But succeed an unfair amount.

COMPENSATION & BENEFITS

  • Competitive salary
  • Generous equity
  • Visa sponsorships
  • 401K plans
  • Daily lunch & office snacks
  • Dinner at the office
  • Unlimited vacation
  • Caltrain pass reimbursement

Why work at Parallel Web Systems

  • Culture: Described as “fully in-person,” with locations in Palo Alto and San Francisco. The company emphasizes serendipity, flat organization, and a talent-dense environment where employees can learn from each other daily parallel.ai/careers.
  • Engineering Focus: The entire engineering team is based in Palo Alto. Roles span back-end/API, front-end, infrastructure/scaling, model training, retrieval/indexing, and search ranking. They are “AI-first,” building and dogfooding frontier software parallel.ai/careers.
  • Values: Own customer impact, obsess over craft, accelerate change, create win-wins, and make high-conviction bets parallel.ai/careers.
  • Benefits: Competitive salary, equity options, 401K plans, daily lunches & snacks, unlimited vacation, Caltrain pass, and visa sponsorship parallel.ai/careers.
  • Team Background: Talent is drawn from top companies including Meta, Patreon, Amazon Web Services, Waymo, Cognition, and Andreessen Horowitz. Alumni go on to firms like Google DeepMind, Kleiner Perkins, and other AI startups linkedin.com.

Application questions